View Source Deployment
Head to the Deploy section of our docs site to get started.
See below for technical considerations and instructions.
Encryption
Lightning enforces encryption at rest for credentials, TOTP backup codes, and webhook trigger authentication methods, for which an encryption key must be provided when running in production.
The key is expected to be a randomized set of bytes, 32 long; and Base64 encoded when setting the environment variable.
There is a mix task that can generate keys in the correct shape for use as an environment variable:
mix lightning.gen_encryption_key
0bJ9w+hn4ebQrsCaWXuA9JY49fP9kbHmywGd5K7k+/s=
Copy your key (NOT THIS ONE) and set it as PRIMARY_ENCRYPTION_KEY in your
environment.
Workers
Lightning uses external worker processes for executing Runs. There are three settings required to configure worker authentication.
WORKER_RUNS_PRIVATE_KEYWORKER_LIGHTNING_PUBLIC_KEYWORKER_SECRET
You can use the mix lightning.gen_worker_keys task to generate these for
convenience.
For more information see the Workers documentation.
Environment Variables
Note that for secure deployments, it's recommended to use a combination of
secrets and configMaps to generate secure environment variables.
Limits
WORKER_MAX_RUN_MEMORY_MB- how much memory (in MB) can a single run use?RUN_GRACE_PERIOD_SECONDS- how long after theMAX_RUN_DURATION_SECONDSshould the server wait for the worker to send back data on a run.WORKER_MAX_RUN_DURATION_SECONDS- the maximum duration (in seconds) that workflows are allowed to run (keep this plusRUN_GRACE_PERIOD_SECONDSbelow your termination_grace_period if using kubernetes)WORKER_CAPACITY- the number of runs a ws-worker instance will take on concurrently.MAX_DATACLIP_SIZE_MB- the maximum size (in MB) of a dataclip created via the webhook trigger URL for a job. This limits the max request size via the JSON plug and may (in future) limit the size of dataclips that can be stored as run_results via the websocket connection from a worker.
Github
Lightning enables connection to github via Github Apps. The following github permissions are needed for the github app:
| Resource | Access |
|---|---|
| Actions | Read and Write |
| Contents | Read and Write |
| Metadata | Read only |
| Secrets | Read and Write |
| Workflows | Read and Write |
Ensure you set the following URLs:
- Homepage URL:
<app_url_here> - Callback URL for authorizing users:
<app_url_here>/oauth/github/callback(Do NOT check the two checkboxes in this section requesting Device Flow and OAuth.) - Setup URL for Post installation:
<app_url_here>/setup_vcs(Check the box for Redirect on update)
These envrionment variables will need to be set in order to configure the github app:
| Variable | Description |
|---|---|
GITHUB_APP_ID | the github app ID. |
GITHUB_APP_NAME | the github app name. This is the name used in the public link. It is the downcased name with spaces replaced with hyphens |
GITHUB_APP_CLIENT_ID | the github app Client ID |
GITHUB_APP_CLIENT_SECRET | the github app Client Secret |
GITHUB_CERT | the github app private key (Base 64 encoded) |
You can access these from your github app settings menu. Also needed for the configuration is:
REPO_CONNECTION_SIGNING_SECRET- secret used to sign access tokens. This access token is used to authenticate requests made from the github actions. You can generate this usingmix lightning.gen_encryption_key
Storage
Lightning can use a storage backend to store exports.
| Variable | Description |
|---|---|
STORAGE_BACKEND | the storage backend to use. (default is local) |
STORAGE_PATH | the path to store files in. (default is .) |
Supported backends:
local- local file storagegcs- Google Cloud Storage
Google Cloud Storage
For Google Cloud Storage, the following environment variables are required:
| Variable | Description |
|---|---|
GCS_BUCKET | the name of the bucket to store files in |
GOOGLE_APPLICATION_CREDENTIALS_JSON | A base64 encoded JSON keyfile for the service account with access to the bucket. |
ℹ️ Note: The
GOOGLE_APPLICATION_CREDENTIALS_JSONshould be base64 encoded, currently Workload Identity is not supported.
Other config
| Variable | Description |
|---|---|
ADAPTORS_PATH | Where you store your locally installed adaptors |
ALLOW_SIGNUP | Set to true to enable user access to the registration page. Set to false to disable new user registrations and block access to the registration page.<br>Default is true. |
CORS_ORIGIN | A list of acceptable hosts for browser/cors requests (',' separated) |
DISABLE_DB_SSL | In production, the use of an SSL connection to Postgres is required by default.<br>Setting this to "true" allows unencrypted connections to the database. This is strongly discouraged in a real production environment. |
EMAIL_ADMIN | This is used as the sender email address for system emails. It is also displayed in the menu as the support email. |
EMAIL_SENDER_NAME | This is displayed in the email client as the sender name for emails sent by the application. |
IDLE_TIMEOUT | The number of seconds that must pass without data being received before the Lightning web server kills the connection. |
IS_RESETTABLE_DEMO | If set to yes, it allows this instance to be reset to the initial "Lightning Demo" state. Note that this will destroy most of what you have in your database! |
K8S_HEADLESS_SERVICE | This environment variable is automatically set if you're running on GKE and it is used to establish an Erlang node cluster. Note that if you're not using Kubernetes, the "gossip" strategy is used to establish clusters. |
LISTEN_ADDRESS | The address the web server should bind to. Defaults to 127.0.0.1 to block access from other machines. |
LOG_LEVEL | How noisy you want the logs to be (e.g., debug, info) |
MIX_ENV | Your mix env, likely prod for deployment |
NODE_ENV | Node env, likely production for deployment |
ORIGINS | The allowed origins for web traffic to the backend |
PORT | The port your Phoenix app runs on |
PRIMARY_ENCRYPTION_KEY | A base64 encoded 32 character long string.<br>See Encryption. |
QUEUE_RESULT_RETENTION_PERIOD_SECONDS | The number of seconds to keep completed (successful) ObanJobs in the queue (not to be confused with runs and/or history) |
SCHEMAS_PATH | Path to the credential schemas that provide forms for different adaptors |
SECRET_KEY_BASE | A secret key used as a base to generate secrets for encrypting and signing data. |
SENTRY_DSN | If using Sentry for error monitoring, your DSN |
URL_HOST | The host used for writing URLs (e.g., demo.openfn.org) |
URL_PORT | The port, usually 443 for production |
URL_SCHEME | The scheme for writing URLs (e.g., https) |
USAGE_TRACKER_HOST | The host that receives usage tracking submissions<br>(defaults to https://impact.openfn.org) |
USAGE_TRACKING_DAILY_BATCH_SIZE | The number of days that will be reported on with each run of UsageTracking.DayWorker. This will only have a noticeable effect in cases where there is a backlog or where reports are being generated retroactively (defaults to 10). |
USAGE_TRACKING_ENABLED | Enables the submission of anonymized usage data to OpenFn (defaults to true) |
USAGE_TRACKING_RESUBMISSION_BATCH_SIZE | The number of failed reports that will be submitted on each resubmission run (defaults to 10) |
USAGE_TRACKING_RUN_CHUNK_SIZE | The size of each batch of runs that is streamed from the database when generating UsageTracking reports (default 100). Decreasing this may decrease memory consumption when generating reports. |
USAGE_TRACKING_UUIDS | Indicates whether submissions should include cleartext UUIDs or not. Options are cleartext or hashed_only, with the default being hashed_only. |
AI Chat
🧪 Experimental
Lightning can be configured to use an AI chatbot for user interactions.
See openfn/apollo for more information on the Apollo AI service.
The following environment variables are required:
OPENAI_API_KEY- your OpenAI API key.APOLLO_ENDPOINT- the endpoint for the OpenFn Apollo AI service.
Kafka Triggers
🧪 Experimental
Lightning workflows can be configured with a trigger that will consume messages from a Kafka Cluster. By default this is disabled and you will not see the option to create a Kafka trigger in the UI, nor will the Kafka consumer groups be running.
To enable this feature set the KAFKA_TRIGGERS_ENABLED environment variable to
yes and restart Lightning. Please note that, if you enable this feature and
then create some Kafka triggers and then disable the feature, you will not be
able to edit any triggers created before the feature was disabled.
Performance Tuning
The number of Kafka consumers in the consumer group can be modified by setting
the KAFKA_NUMBER_OF_CONSUMERS environment variable. The default value is
currently 1. The optimal setting is one consumer per topic partition. NOTE: This
setting will move to KafkaConfiguration as it will be trigger-specific.
The number of messages that the Kafka consumer will forward is rate-limited by
the KAFKA_NUMBER_OF_MESSAGES_PER_SECOND environment variable. This can be set
to a value of less than 1 (minimum 0.1) and will converted (and rounded-down) to
an integer value of messages over a 10-second interval (e.g. 0.15 becomes 1
message every 10 seconds). The default value is 1.
Processing concurrency within the Kafka Broadway pipeline is controlled by the
KAFKA_NUMBER_OF_PROCESSORS environment variable. Modifying this, modifies the
number of processors that are downstream of the Kafka consumer, so an increase
in this value should increase throughput (when factoring in the rate limit set
by KAFKA_NUMBER_OF_MESSAGES_PER_SECOND). The default value is 1.
Deduplication
Each Kafka trigger maintains record of the topic, parition and offset for each
message received. This to protect against the ingestion of duplicate messages
from the cluster. These records are periodically cleaned out. The duration for
which they are retained is controlled by
KAFKA_DUPLICATE_TRACKING_RETENTION_SECONDS. The default value is 3600.
Disabling Kafka Triggers
After a Kafka consumer group connects to a Kafka cluster, the cluster will track the last committed offset for a given consumer group ,to ensure that the consumer group receives the correct messages.
This data is retained for a finite period. If an enabled Kafka trigger is disabled for longer than the offset retention period the consumer group offset data will be cleared.
If the Kafka trigger is re-enabled after the offset data has been cleared, this will result in the consumer group reverting to what has been configured as the 'Initial offset reset policy' for the trigger. This may result in the duplication of messages or even data loss.
It is recommended that you check the value of the offsets.retention.minutes for
the Kafka cluster to determine what the cluster's retention period is, and
consider this when disabling a Kafka trigger for an extended period.
Failure notifications
Under certain failure conditions, a Kafka trigger will send an email to certain
user that are associated with a project. After each email an embargo is applied
to ensure that Lightning does not flood the recipients with email. The length
of the embargo is controlled by the KAFKA_NOTIFICATION_EMBARGO_SECONDS ENV
variable.
Persisting Failed Messages
PLEASE NOTE: If alternate file storage is not enabled, messages that fail to be persisted will not be retained by Lightning ans this can result in data loss, if the Kafka cluster can not make these messages available again.
If a Kafka message files to be persisted as a WorkOrder, Run and Dataclip, the
option exists to write the failed message to a location on the local file system.
If this option is enabled by setting KAFKA_ALTERNATE_STORAGE_ENABLED, then the
KAFKA_ALTERNATE_STORAGE_PATH ENV variable must be set to the path that exists
and is writable by Lightning. The location shoudl also be suitably protected to
prevent data exposure as Lightning will not encrypt the message contents when
writing it.
If the option is enabled and a message fails to be persisted, Lightning will
create a subdirectory named with the id if the affected trigger's workflow
in the location specified by KAFKA_ALTERNATE_STORAGE_PATH (assuming such a
subdirectory does not already exist). Lightning will serialise the message
headers and data as received by the Kafka pipeline and write this to a file
within the subdirectory. The file will be named based on the pattern
<trigger_id>_<message_topic>_<message_partition>_<message_offset>.json.
To recover the persisted messages, it is suggested that the affected triggers be disabled before commencing. Once this is done, the following code needs to be run from an IEx console on each node that is running Lightning:
Lightning.KafkaTriggers.MessageRecovery.recover_messages(
Lightning.Config.kafka_alternate_storage_file_path()
)Further details regarding the behaviour of MessageRecovery.recover_messages/1
can be found in the module documentation of MessageRecovery. Recovered
messages will have the .json extension modified to .json.recovered but they
will be left in place. Future recovery runs will not process files that have
been marked as recovered.
Once all files have either been recovered or discarded, the triggers can be enabled once more.
Google Oauth2
Using your Google Cloud account, provision a new OAuth 2.0 Client with the 'Web application' type.
Set the callback url to: https://<ENDPOINT DOMAIN>/authenticate/callback.
Replacing ENDPOINT DOMAIN with the host name of your instance.
Once the client has been created, get/download the OAuth client JSON and set the following environment variables:
| Variable | Description |
|---|---|
GOOGLE_CLIENT_ID | Which is client_id from the client details. |
GOOGLE_CLIENT_SECRET | client_secret from the client details. |
Salesforce Oauth2
Using your Salesforce developer account, create a new Oauth 2.0 connected application.
Set the callback url to: https://<ENDPOINT DOMAIN>/authenticate/callback.
Replacing ENDPOINT DOMAIN with the host name of your instance.
Grant permissions as desired.
Once the client has been created set the following environment variables:
| Variable | Description |
|---|---|
SALESFORCE_CLIENT_ID | Which is Consumer Key from the "Manage Consumer Details" screen. |
SALESFORCE_CLIENT_SECRET | Which is Consumer Secret from the "Manage Consumer Details" screen. |